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. Job description: - first-principle modeling and simulations of electrolytes - development of new machine learning strategies and quantum simulation approaches - application of specially developed
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 4 hours ago
site, theoretical work is led by Prof. Angel Rubio at MPSD. We are currently inviting applications from enthusiastic and talented researchers to join the teams of: Dr. Michael Ruggenthaler – Mathematical
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 6 days ago
-Institute for Plasma Physics in Greifswald offers within the division Stellarator Reactor Studies a PostDoc-position for a Physicist or Engineer (m/f/d) for the development of computational models
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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participants, and mathematical / statistical modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native
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Junior research position or post-doctoral position (m/f/d)(Position number: 19-2025 Postdoc PREVENT) in the field of Weather Extremes and Climate Modelling, starting on 01.09.2025. The position is funded
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Job Id: 10797 Limited to 2 Years | Full-time with 38.5 hours/week | German salary grade E 13 TV-L | The medical faculty in collaboration with the mathematics department of the University of Münster
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position or post-doctoral position (m/f/d) (Position number: 19-2025 Postdoc PREVENT) in the field of Weather Extremes and Climate Modelling, starting on 01.09.2025. The position is funded for 12 months
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on skills and interest): Build “incentive-preserving prediction models” for variables with positive global externalities, based on country characteristics (GDP, population density…) Develop procedures